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Quantitative Trading Internship Jobs (NOW HIRING)

Anson McCade

Quantitative Researcher

Manhattan, NY · On-site

$200K/yr

Permanent Quantitative Researcher Junior level (internship - 3 years experience) I am working with ... By combining expertise across quantitative research, trading, engineering, and operations, the firm ...

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Quantitative Trading Internship information

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$11K

$129.7K

$198K

How much do quantitative trading internship jobs pay per year?

As of Jul 13, 2026, the average yearly pay for quantitative trading internship in the United States is $129,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $138,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quantitative Trading Intern, and why are they important?

To thrive as a Quantitative Trading Intern, you need strong quantitative skills, proficiency in mathematics or statistics, and a background in finance, engineering, computer science, or a related field. Familiarity with programming languages such as Python, C++, or R, as well as experience with data analysis tools and financial modeling, is highly valued. Analytical thinking, attention to detail, and the ability to work collaboratively under pressure are crucial soft skills. These competencies are essential for efficiently analyzing market data, developing trading strategies, and contributing effectively within a fast-paced trading environment.

What is a Quantitative Trading Internship?

A Quantitative Trading Internship is a temporary position, typically for students or recent graduates, where interns work with quantitative trading teams to analyze financial data, develop trading strategies, and implement algorithms. Interns often use programming languages like Python or C++ and statistical tools to identify patterns in market data. The role offers hands-on experience in financial markets, quantitative research, and trading technology, making it an excellent pathway for those interested in quantitative finance. Interns may also collaborate with traders and researchers, learn risk management concepts, and gain exposure to real-time trading environments.

What is the difference between Quantitative Trading Internship vs Quantitative Trading Analyst?

AspectQuantitative Trading InternshipQuantitative Trading Analyst
Required CredentialsTypically pursuing or recent graduate with strong math, programming, or finance backgroundBachelor's or master's in finance, mathematics, or related field; some roles prefer certifications like CFA
Work EnvironmentInternship programs within trading firms, often part-time or summer rolesFull-time position within trading desks or financial firms
Employer & Industry UsageUsed by hedge funds, proprietary trading firms, investment banks for trainingUsed by firms for ongoing trading strategy development and execution

The main difference is that a Quantitative Trading Internship is an entry-level, temporary position aimed at gaining experience, while a Quantitative Trading Analyst is a full-time role focused on developing and executing trading strategies. Internships serve as a stepping stone to analyst roles, which require more experience and responsibility.

What are some typical challenges faced by interns during a Quantitative Trading Internship, and how can they overcome them?

Interns in quantitative trading often encounter challenges such as adapting to fast-paced environments, mastering proprietary trading tools, and bridging the gap between theoretical knowledge and real-world market dynamics. To overcome these, it’s helpful to proactively seek feedback from mentors, collaborate closely with team members, and dedicate time to practicing coding and data analysis skills. Being open to learning from mistakes and asking questions can also accelerate your growth and help you make meaningful contributions during your internship.
More about Quantitative Trading Internship jobs
What cities are hiring for Quantitative Trading Internship jobs? Cities with the most Quantitative Trading Internship job openings:
What are the most commonly searched types of Quantitative Trading jobs? The most popular types of Quantitative Trading jobs are:
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What job categories do people searching Quantitative Trading Internship jobs look for? The top searched job categories for Quantitative Trading Internship jobs are:
Quantitative Trading Internship jobs near you
Infographic showing various Quantitative Trading Internship job openings in the United States as of July 2026, with employment types broken down into 9% Internship, 1% As Needed, 68% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $129,666 per year, or $62.3 per hour.

New Grad Full-Time Quantitative Trader

WallStreetQuants

New York, NY

Full-time

Posted 15 days ago

Job description

About the Role

A proprietary trading firm based in NYC is seeking a highly motivated New Grad Quantitative Trader to join the team full-time. In this role, you will apply analytical thinking, market intuition, and quantitative problem-solving to identify trading opportunities, manage risk, and contribute to the development of data-driven strategies across global markets.

This is an ideal opportunity for recent graduates who are passionate about financial markets, probability, game theory, technology, and fast-paced decision-making. You will work closely with experienced traders, quantitative researchers, and engineers to learn how modern trading strategies are designed, tested, and executed.

Requirements

Responsibilities
  • Monitor and analyze real-time market data to identify trading opportunities.
  • Support the development, testing, and refinement of quantitative trading strategies.
  • Make fast, data-informed trading decisions while managing risk.
  • Collaborate with traders, researchers, and engineers to improve trading models, tools, and execution systems.
  • Conduct statistical analysis on historical and live market data.
  • Evaluate market microstructure, liquidity, volatility, and other drivers of price movement.
  • Participate in trading simulations, training programs, and strategy review sessions.
  • Communicate trade ideas, risks, and performance insights clearly to the team.
  • Continuously improve decision-making through feedback, research, and post-trade analysis.
Qualifications
  • Bachelor's, Master's, or PhD degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Strong quantitative, analytical, and problem-solving skills.
  • Interest in financial markets, trading, probability, strategy games, or competitive problem-solving.
  • Ability to make decisions quickly and remain calm under pressure.
  • Strong attention to detail and intellectual curiosity.
  • Excellent communication and teamwork skills.
  • Programming experience in Python or a similar language is preferred.
  • Prior internship, research, trading competition, or personal project experience involving data analysis, markets, or quantitative modeling is a plus but not required.
Ideal Candidate

The ideal candidate is intellectually curious, competitive, numerically strong, and comfortable making decisions with incomplete information. You enjoy solving complex problems, thinking strategically, learning from feedback, and working in a fast-moving environment where performance and precision matter.

Benefits

What We Offer
  • Comprehensive training in trading, market structure, risk management, and quantitative strategy development.
  • Mentorship from experienced traders, researchers, and technologists.
  • Exposure to live markets and real-time trading decision-making.
  • A collaborative, high-performance environment that values curiosity, discipline, and continuous learning.
  • Opportunities for rapid growth based on performance, ownership, and impact.
  • Competitive compensation and benefits package.

Apply